Triple
T30397230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الزمر |
E773250
|
entity |
| Predicate | افتتحت بحرف مقطع |
P100500
|
FINISHED |
| Object | حم |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: حم | Statement: [سورة الزمر, افتتحت بحرف مقطع, حم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: افتتحت بحرف مقطع Context triple: [سورة الزمر, افتتحت بحرف مقطع, حم]
-
A.
تُفتتح بدون
Indicates that something is opened or inaugurated without the presence, inclusion, or use of a specified person, thing, or condition.
-
B.
openingCharacter
chosen
Indicates that one entity is the first character or symbol at the beginning of another entity (such as a string, word, or text).
-
C.
hasOpeningWordsArabic
Indicates that an entity (such as a text, document, or work) has specific opening words expressed in the Arabic language.
-
D.
openedSegment
Indicates that one entity has initiated or created a new segment, section, or interval within another entity or process.
-
E.
openedSegmentBySegment
Indicates that something was opened gradually in distinct parts or stages, rather than all at once.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f685aef340819081190a2397b94251 |
completed | May 2, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:03 p.m.